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Fluid Analysis Challenges

Fluid Analysis Challenges

WHEN USING CFDS

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Analysis of complex fluid phenomena is necessary and takes too much computation time
Calculation time is too long due to the need to analyze complex fluid phenomena

Analysis of complex fluid phenomena
Computation time is too long due to the need to analyze complex fluid phenomena
too time-consuming


Computational Fluid Dynamics (CFD)
Generally, this computational fluid dynamics is called "fluid analysis.

FOR FLUID ANALYSIS WITH AI MAIN (SURROGATE MODEL)

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Requires a large amount of correct data
Insufficient generalization performance for analytical conditions/geometry
Less reliable than CFD
Overall time required cannot be reduced much

Requires a large amount of correct data and
Insufficient generalization performance for analysis conditions/geometry
Insufficient generalization performance
Less reliable than CFD
Overall time required cannot be reduced much

ArayaUnique CFD x AI hybrid technology
to predict aerodynamic characteristics of fluid equipment
Innovative and quick turnaround time

ArayaProprietary CFD x AI
hybrid technology
Prediction of aerodynamic characteristics of fluid equipment
Innovative and quick turnaround time

BY COMBINING THE FLEXIBILITY/HIGH SPEED OF AI PREDICTION WITH THE RELIABILITY OF CFD ANALYSIS, INNOVATIVE SHORTENING OF TIME CAN BE EXPECTED. THIS WILL ENABLE COMPETITIVE MANUFACTURING WITH HIGH ADDED VALUE BASED ON SOCIAL NEEDS MORE THAN EVER BEFORE.
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CFD

and

AI

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hybrid technology

Highly reliable and fast aerodynamic prediction solution

Highly reliable and fast aerodynamic
predictive solutions

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Fast unsteady aerodynamic prediction

Compared to CFD
Significant speedup is possible

SIGNIFICANTLY FASTER THAN CFD

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High generalization performance with small amount of data

Incorporating the Laws of Physics
Neural Network
Can be trained with a small amount of correct data
High generalization performance for analytical conditions/geometry

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High reliability of forecast results

Highly accurate and reliable forecasts based on CFD
Highly accurate and reliable forecasts based on CFD

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NeumaticAI reduces overall design cycle time

Although AI-main (surrogate model) fluid analysis reduces inference time, it requires a large amount of correct data generated using CFD during training and, as a result, consumes a lot of time, which does not reduce the overall time required much.
In addition, the AI model is unreliable because its internal black box nature makes it very difficult to base predictions on it.

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Features of NeumaticAI, a hybrid technology of CFD and AI
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Part of CFD is advanced by AI*.
Achieves higher speeds while ensuring reliability

PART OF CFD IS ADVANCED BY AI* ACHIEVES HIGH SPEED WHILE ENSURING RELIABILITY

ArayaNeumaticAI of Neumatic Inc. makes maximum use of available CFD technology, and uses AI to enhance a portion of CFD. In this way, AI plays a minimal role in CFD, Thus, even with a small amount of data, high generalization performance and reliable analysis results can be expected.

*Substitution of physical models (contributes to higher accuracy), absorption of discrete errors (contributes to higher speed)

FOR AI MAIN (SURROGATE MODEL) FLUID ANALYSIS

TRYING TO USE AI TO REPLACE ALL OF THE COMPLEX PROCESSES IN CFDS TENDS TO MAKE THEM LESS RELIABLE

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in the case of

For NeumaticAI

AI-ENHANCED* PART OF CFD ENABLES FAST CALCULATIONS WITH MAXIMUM LOSS OF RELIABILITY.

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Maximizes the use of CFD technology and physical laws,
CFD technology and physical laws are utilized to the maximum extent possible to achieve fast and reliable analysis.

MAXIMIZES THE USE OF CFD TECHNOLOGY AND PHYSICAL LAWS, CFD TECHNOLOGY AND PHYSICAL LAWS ARE UTILIZED TO THE MAXIMUM EXTENT POSSIBLE TO ACHIEVE FAST AND RELIABLE ANALYSIS.

RATHER THAN SUBSTITUTING AI FOR ALL OF THE COMPLEXITIES OF CFD PROCESSING, CFD TECHNOLOGY, THE BY MAXIMIZING THE USE OF THE LAWS OF PHYSICS, FAST AND RELIABLE ANALYSIS IS POSSIBLE.

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Technology backed by highly specialized development experience

Technology backed by highly specialized development experience

ArayaAt MHI Aero Engine Service, we have applied AI to fluid analysis by leveraging the knowledge we have accumulated through providing development support to multiple manufacturers in the automotive industry. We have verified the following three points to speed up the reduction of design review time. NeumaticAI was developed based on these experiences.
  1. DIRECT PREDICTION OF PERFORMANCE VALUES (AI REPLACES THE ENTIRE ANALYSIS PROCESS. GEOMETRY PARAMETERS/FLOW CONDITIONS → PERFORMANCE VALUE PREDICTION)
  2. ACCELERATION OF CFD (AI REPLACES CFD ANALYSIS OF TIME EVOLUTION OF FLOW FIELD)
  3. STREAMLINE DESIGN EXPLORATION (AI ANALYZES AND STREAMLINES DESIGN CHANGES/EXPLORATION FROM AERODYNAMIC PERFORMANCE)
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